Name
Abstract | ||
|---|---|---|
This letter describes a pipeline for autonomous object search using a mobile robot. The robot is required to efficiently find an object in an unknown environment. In this letter, we formulate the object-search problem as a Partially Observable Markov Decision Process (POMDP). The semantic information of the room types and the object is utilized for training the belief distribution in the POMDP. We... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LRA.2018.2849610 | IEEE Robotics and Automation Letters |
Keywords | Field | DocType |
Search problems,Semantics,Roads,Robot kinematics,Path planning,Belief propagation | Object search,Partially observable Markov decision process,Road map,Control engineering,Gaussian,Artificial intelligence,Engineering,Robot,Mobile robot,Belief propagation,Occupancy grid mapping | Journal |
Volume | Issue | ISSN |
3 | 4 | 2377-3766 |
Citations | PageRank | References |
1 | 0.40 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaoqun Wang | 1 | 39 | 10.50 |
| Jiyu Cheng | 2 | 9 | 2.54 |
| Jiankun Wang | 3 | 40 | 11.93 |
| Xintong Li | 4 | 2 | 1.41 |
| Max Q.-H. Meng | 5 | 25 | 5.54 |